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Modeling Thermodynamic Properties of Mixtures of CO2 + O2 in the Allam Cycle by Equations of State
Different equations of state (EOS) were applied for describing thermodynamic properties of the system CO 2 + O 2 , which is important for the Allam cycle: cubic EOS (Soave–Redlich–Kwong, Peng–Robinson), molecular-based EOS (PC-SAFT, PCP-SAFT, SAFT-VR Mie, polar soft-SAFT, BACKONE, sCPA), and multipa...
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Published in: | International journal of thermophysics 2023-12, Vol.44 (12), Article 182 |
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container_issue | 12 |
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container_title | International journal of thermophysics |
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creator | Staubach, Jens Schwarz, Gerhard Möbius, Stephan Hasse, Hans Stephan, Simon |
description | Different equations of state (EOS) were applied for describing thermodynamic properties of the system
CO
2
+
O
2
,
which is important for the Allam cycle: cubic EOS (Soave–Redlich–Kwong, Peng–Robinson), molecular-based EOS (PC-SAFT, PCP-SAFT, SAFT-VR Mie, polar soft-SAFT, BACKONE, sCPA), and multiparameter EOS (GERG-2008, EOS-CG). The pure component models were taken from the literature. The results for the mixture were compared to experimental data from the literature for two cases: (i) the thermodynamic properties of the mixture were modeled using predictive mixing and combination rules; (ii) additional binary interaction parameters were fitted to experimental data for improving the performance. In the predictive mode (i), the best results were obtained with molecular-based EOS. In the adjusted mode (ii) the best results were obtained with the multi-parameter GERG-2008 EOS and EOS-CG. |
doi_str_mv | 10.1007/s10765-023-03297-w |
format | article |
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CO
2
+
O
2
,
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CO
2
+
O
2
,
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CO
2
+
O
2
,
which is important for the Allam cycle: cubic EOS (Soave–Redlich–Kwong, Peng–Robinson), molecular-based EOS (PC-SAFT, PCP-SAFT, SAFT-VR Mie, polar soft-SAFT, BACKONE, sCPA), and multiparameter EOS (GERG-2008, EOS-CG). The pure component models were taken from the literature. The results for the mixture were compared to experimental data from the literature for two cases: (i) the thermodynamic properties of the mixture were modeled using predictive mixing and combination rules; (ii) additional binary interaction parameters were fitted to experimental data for improving the performance. In the predictive mode (i), the best results were obtained with molecular-based EOS. In the adjusted mode (ii) the best results were obtained with the multi-parameter GERG-2008 EOS and EOS-CG.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10765-023-03297-w</doi><oa>free_for_read</oa></addata></record> |
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source | Springer Nature |
subjects | Carbon dioxide Classical Mechanics Condensed Matter Physics Equations of state Geophysics Industrial Chemistry/Chemical Engineering Interaction parameters Mathematical models Mixtures Performance prediction Physical Chemistry Physics Physics and Astronomy Thermodynamic properties Thermodynamics |
title | Modeling Thermodynamic Properties of Mixtures of CO2 + O2 in the Allam Cycle by Equations of State |
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